I'm an AI-First Startup Architect consuming 300-10000 million tokens daily in production environments. I believe AI-First is the future of software—not AI-assisted, but AI-driven.
As the lead architect, I've migrated our entire tech stack from a Python/Kotlin/Go/Java mix to pure TypeScript—because unified language stacks enable AI to understand, generate, and maintain code far more efficiently.
- AI-First Architecture: Designing systems where AI is the primary developer, humans handle architecture decisions and quality control.
- Multi-Agent Orchestration: Building sophisticated agent systems with Claude Code, Ralph Orchestrator, and custom coordination layers.
- AI Tooling Mastery: Deep expertise in MCP Servers, Skills, Hooks, VibeFlow, Fine-tuning, and production-grade AI workflows.
- Full-Stack AI Solutions: From data pipelines to AI agents, from backend APIs to frontend interfaces—complete AI product delivery.
- Open Source Contributor: Active contributor to AI tooling and developer experience projects.
AI Engineering Stack
- Multi-agent systems design (Claude Code orchestration, Ralph)
- MCP Servers, Skills, Hooks, Custom Plugins
- VibeFlow, n8n, Windmill workflow automation
- Fine-tuning, Prompt Engineering, RAG systems
- LiteLLM, Vector DBs, Token routing optimization
Full-Stack Engineering
- Frontend: React, Next.js, TypeScript
- Backend: Node.js, TypeScript, Hono
- Database: PostgreSQL, MongoDB, Supabase
- DevOps: Docker, CI/CD, Cloud deployment
Daily Reality
- Token consumption: 300M - 500M / day
- Primary models: Claude Opus 4.5, GPT-5, Gemini 3.0 Pro
- AI generates 100%+ of code, humans own architecture and quality
Intelligent CLI router that automatically selects the best AI backend for your tasks. Features smart routing across multiple AI providers (OpenAI, Anthropic, Google Gemini) with automatic fallback and cost optimization.
Tech Stack: Python, Multi-AI Integration, CLI Framework
Highlights:
- Automatic provider selection based on task complexity
- Cost-aware routing with budget management
- Unified interface across different AI providers
A Claude Code plugin for orchestrating complex development tasks through parallel agent coordination. Enables sophisticated task decomposition, parallel execution, and intelligent result merging.
Tech Stack: Shell, Claude Code, Multi-Agent Orchestration
Highlights:
- Parallel task execution with multiple agents
- Intelligent result merging and conflict resolution
- Automated code review and quality checks
💹 NoFx (Contributor)
Open-source Trading OS with pluggable AI brain. Complete pipeline from market data ingestion → AI-powered analysis → automated trade execution.
Tech Stack: Go, AI Integration, Trading Systems
Highlights:
- Real-time market data processing
- AI-driven trading strategy generation
- Multi-exchange support with unified API
AI & ML: Claude, GPT, Gemini, LiteLLM, LangChain, Vector DBs, RAG Systems
AI Tooling: MCP Servers, Skills, Hooks, Ralph, VibeFlow, Fine-tuning
Automation: n8n, Windmill, Custom Workflow Engines
- Pushing the boundaries of AI-First software development
- Expanding multi-agent orchestration with advanced coordination patterns
- Contributing to open-source AI tooling ecosystem
- Building next-generation workflow automation systems
- 🌐 Website: os.ripoai.org
- 📧 Email: codermagefox@codermagefox.com
- 🐦 Twitter/X: @CoderMageFox
- 💻 GitHub: @CoderMageFox
"Never Give Up. Transforming ideas into reality through AI magic."





